1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Multi-layer Sequence Labeling-based Joint Biomedical Event Extraction
Gongchi Chen, Pengchao Wu, Jinghang Gu +2
In recent years, biomedical event extraction has been dominated by complicated pipeline and joint methods, which need to be simplified. In addition, existing work has not effective…
cs.CL2024★ 1 cited
Pipelined Biomedical Event Extraction Rivaling Joint Learning
Pengchao Wu, Xuefeng Li, Jinghang Gu +2
Biomedical event extraction is an information extraction task to obtain events from biomedical text, whose targets include the type, the trigger, and the respective arguments invol…
cs.CL2019
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
Jie Zhu, Junhui Li, Muhua Zhu +3
Recent studies on AMR-to-text generation often formalize the task as a sequence-to-sequence (seq2seq) learning problem by converting an Abstract Meaning Representation (AMR) graph…